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Deepseek Jobs in Bothell, WA (NOW HIRING)

Software Engineer II- AI/ML, AWS Neuron

Seattle, WA · On-site

$111K - $151K/yr

This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and ...

Software Engineer II- AI/ML, AWS Neuron

Seattle, WA · On-site

$111K - $151K/yr

This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and ...

Software Engineer II- AI/ML, AWS Neuron

Seattle, WA · On-site

$111K - $151K/yr

This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and ...

Deepseek information

What are the key skills and qualifications needed to thrive as a Deep Learning Engineer, and why are they important?

To thrive as a Deep Learning Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with neural networks. Proficiency in Python, TensorFlow, PyTorch, and familiarity with cloud computing platforms and GPU acceleration is typically required. Strong problem-solving skills, creativity, and effective communication help you design novel models and collaborate with multidisciplinary teams. These skills enable the development and deployment of advanced AI solutions that drive innovation and real-world impact.

What are the typical collaboration patterns for Deep Learning Research Engineers at Deepseek, and how do they work with cross-functional teams?

Deep Learning Research Engineers at Deepseek frequently collaborate with data scientists, software engineers, and product managers to develop and optimize machine learning models. They participate in regular team meetings to align on project goals, share research findings, and integrate new algorithms into production systems. Effective communication is crucial, as these engineers often translate complex research concepts into actionable tasks for engineering teams. This collaborative environment fosters innovation and ensures that research outcomes can be successfully deployed within real-world applications.

What are Deepseek engineers?

Deepseek engineers are professionals who specialize in developing and implementing advanced artificial intelligence (AI) and machine learning solutions, often focusing on natural language processing and search technologies. They typically work for Deepseek, a company known for its work in large language models and AI-driven search capabilities. Their responsibilities include designing, training, and optimizing AI models, as well as integrating these solutions into products and services. Deepseek engineers often collaborate with data scientists and product teams to ensure the technology meets user needs and industry standards.

What is the difference between Deepseek vs Data Analyst?

AspectDeepseekData Analyst
Required CredentialsTypically requires a background in computer science, data science, or related fields; certifications in data analysis or machine learning are commonUsually requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Excel, Tableau, or SQL are beneficial
Work EnvironmentPrimarily technical, involving data processing, algorithm development, and machine learning model trainingPrimarily analytical, involving data interpretation, reporting, and visualization
Employer & Industry UsageUsed in tech companies, AI firms, and research institutions focusing on machine learning and AI solutionsUsed across various industries including finance, marketing, healthcare, and consulting for data-driven decision making

Deepseek focuses on developing AI and machine learning models, requiring technical expertise in algorithms and programming. Data Analysts interpret and visualize data to support business decisions. While both roles work with data, Deepseek is more technical and research-oriented, whereas Data Analysts focus on insights and reporting.

What job categories do people searching Deepseek jobs in Bothell, WA look for? The top searched job categories for Deepseek jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Deepseek jobs? Cities near Bothell, WA with the most Deepseek job openings:
Infographic showing various Deepseek job openings in Bothell, WA as of July 2026, with employment types broken down into 16% Internship, 44% Full Time, 24% Part Time, and 16% Temporary. Highlights an 100% In-person job distribution.
Machine Learning Engineer, AWS Neuron Inference, Annapurna ML

Machine Learning Engineer, AWS Neuron Inference, Annapurna ML

Amazon

Seattle, WA

Full-time

Re-posted 21 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,939 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine
learning accelerators and the Trn2 and future Trn3 servers that use them. This role is for a software engineer in the Machine Learning Applications (ML Apps) team for AWS Neuron.
This role develops, enables and performance tunes building blocks for all key ML model families, including Llama3, GPT OSS, Qwen3, DeepSeek and beyond.
The Neuron Inference Technology team works side by side with the Inference Model Enablement, compiler runtime engineers to create, build and tune high-performance distributed inference solutions for the latest generation Trainium accelerators. Experience optimizing LLM inference performance with kernels, Python, PyTorch or JAX is a must.
Key job responsibilities
This team develops optimized building blocks for the Neuron distributed inference library, tuning them to ensure highest performance and maximize efficiency running on Trn2 and Trn3 servers.
A day in the life
As you develop technology components, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects

You'll also participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally with teams across Neufon
in a fast-paced startup-like development environment, where we constantly stay on top of the latest priorities as the AI landscape evolves.
About the team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship

Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US